One of the most challenging problems on modern urban planning and one of the goals to be solved for smart city design is that of urban waste disposal. Given urban population growth, and that the amount of waste generated by each of us citizens is also growing, the total amount of waste to be collected and treated is growing dramatically (EPA 2011), becoming one sensitive issue for local governm...

in the recent decades, urbanization has affected social, economical, cultural, political and physical aspects of human life-style. presentation of sustainable development as one of the goals of the third millennium is derived from the effects of cities on earth and on different aspects of human life. undoubtedly, talking about sustainability and sustainable development would be impossible witho...

Diffusion processes in networks are increasingly used to model the spread of information and social influence. In several applications in computational sustainability such as the spread of wildlife, infectious diseases and traffic mobility pattern, the observed data often consists of only aggregate information. In this work, we present new models that generalize standard diffusion processes to ...

Computational Sustainability is a new emerging research field with the overall goal of studying and providing solutions to computational problems for balancing environmental, economic, and societal needs for a sustainable future. I will provide examples of challenge problems in Computational Sustainability, ranging from wildlife preservation and biodiversity, to balancing socio-economic needs a...

In this paper, we explore a new approach to computational sustainability based on variational inequalities (VIs). Our challenge is to compute the steady state behaviors of networks of supply chains with possibly conflicting objectives. VIs provide a way to handle this problem of modeling large networks with numerous conflicting goals. Given the size of real-world networks, suitable algorithms m...

8 AI MAGAZINE One of the central challenges in computational sustainability is how to allocate resources in order to optimize long-term objectives. An archetypal application is conservation planning: managers recommend patches of land in order to achieve long-term conservation of biodiversity. In this and similar applications, we typically have to make decisions over time: financial resources (...

In this paper we introduce a class of Markov decision processes that arise as a natural model for many renewable resource allocation problems. Upon extending results from the inventory control literature, we prove that they admit a closed form solution and we show how to exploit this structure to speed up its computation. We consider the application of the proposed framework to several problems...

— Road traffic is a problem which is increasing in cities with large population. Unrelated to this fact the number of portable and wearable devices has also been increasing throughout the population of most countries. With this advent, the capacity to monitor and register data about people habits and locations as well as more complex data such as intensity and strength of movements has created ...

Sustainability is a wide concept that contains other concepts such as social responsibility and has been investigated with concepts such as competition sustainability, reporting sustainability, and social sustainability. The present study aims to investigate the role of social interest rate risk management (SIRRM) in the relationship between sustainability performance and investment ef...

Companies today face the challenge of adopting proper supply chain sustainability (SCS) strategies and practices to respond effectively to emerging global sustainability initiatives. Business sustainability has become a strategic imperative, with a focus on both financial and non-financial sustainability performance, which creates shared value for all stakeholders. This paper examines the integ...